AI Architecture Research Engineer - Production-Ready ML

Jobgether

Österreich

Vor Ort

EUR 70.000 - 110.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Competitive compensation
Equity
Global distributed team

Zusammenfassung

Jobgether, in partnership with a company in Austria, seeks a Machine Learning Engineer focused on AI architecture research. You will explore novel neural architectures and prototype end-to-end training-ready systems.

Join a fast-moving, research-oriented environment with opportunities to influence technical direction and contribute to production deployments in a globally distributed team.

Qualifikationen

  • Strong foundation in machine learning and deep learning with hands-on model development.
  • Experience implementing neural network architectures from scratch.
  • Understanding of attention mechanisms and state-space or long-context models.
  • Knowledge of training dynamics, optimization, and efficiency considerations.

Aufgaben

  • Research and develop novel neural network architectures beyond Transformers.
  • Design experiments focusing on scaling, memory, training behavior, and compute-performance trade-offs.
  • Prototype end-to-end training-ready models translating research concepts into production code.
  • Analyze model behavior, inductive biases, and architectural strengths/limitations.
  • Collaborate with inference and systems engineers to ensure efficiency and deployability.
  • Read and reproduce cutting-edge ML papers and contribute to benchmarks.
  • Contribute to internal notes, experiments, and open-source initiatives where applicable.
  • Balance theory with rapid experimentation and production-oriented engineering.

Kenntnisse

Deep learning fundamentals
Model development from scratch
Attention mechanisms
Communication skills
Research-to-production

Tools

PyTorch
JAX

Jobbeschreibung

Jobgether, in partnership with a company in Austria, seeks a Machine Learning Engineer focused on AI architecture research. You will explore novel neural architectures and prototype end-to-end training-ready systems.

Join a fast-moving, research-oriented environment with opportunities to influence technical direction and contribute to production deployments in a globally distributed team.

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